Neuroimaging, Part One, a text from The Handbook of Clinical Neurology illustrates how neuroimaging is rapidly expanding its reach and applications in clinical neurology. It is an ideal resource for anyone interested in the study of the nervous system, and is useful to both beginners in various related fields and to specialists who want to update or refresh their knowledge base on neuroimaging. This first volume specifically covers a description of imaging techniques used in the adult brain, aiming to bring a comprehensive view of the field of neuroimaging to a varying audience. It brings broad coverage of the topic using many color images to illustrate key points. Contributions from leading global experts are collated, providing the broadest view of neuroimaging as it currently stands. For a number of neurological disorders, imaging is not only critical for diagnosis, but also for monitoring the effect of therapies, and the entire field is moving from curing diseases to preventing them. Most of the information contained in this volume reflects the newness of this approach, pointing to this new horizon in the study of neurological disorders.

Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

This issue reviews the uses of positron emission tomography (PET) for imaging the musculoskeletal system.? Because PET imaging has been particularly effective with regard to imaging of tumors, this issue includes several issues on detecting primary as well as metastatic bone tumors.? PET's use in imaging soft tissue malignancies and musculoskeletal malignancies are also reviewed.? This issue also explores the uses of PET for osteoporosis and inflammatory and infectious diseases.? The development and applications for alternative radionuclide tracers is also included.

In this issue of Clinics in Perinatology, guest editors Drs. Sangam Kanekar and Sarah Sarvis Milla bring their considerable expertise to the topic of Advances in Imaging of the Fetus and Newborn. Top experts in the field provide important imaging updates to perinatologists and neonatologists who provide care to fetal, preterm, and newborn infants, helping them optimize outcomes and support families as they make decisions about clinical care, treatment, and postnatal care of affected babies. Contains 14 practice-oriented topics including fetal MRI neuroradiology: indications, safety, and normal anatomy; neuroimaging of the premature infant; imaging of abusive head trauma in infancy; intrauterine and perinatal infections; and more. Provides in-depth clinical reviews on advances in imaging of the fetus and newborn, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Computed tomography (CT) is becoming increasingly more important in the diagnosis of cardiac disease. As more hospitals purchase scanners for cardiac CT, more cardiologists are learning how to interpret the scans. This issue is geared to helping cardiologists understand and adopt this new modality. It includes articles on CT angiography, evaluation of the coronary atherosclerotic plaque, evaluation of heart valves, and electrophysiology applications of CT, among others.

In this issue of Neurologic Clinics, guest editor Dr. Sangam Kanekar brings his considerable expertise to the topic of Imaging of Headache. Top experts in the field cover key topics such as headache attributed to disorder of the cranium and base of the skull; role of CT and MRI in evaluation of headache due to paranasal sinus and teeth disorder; imaging of painful ophthalmologic disorders; role of MRI and CT in the evaluation of headache in pregnancy and postpartum period; assessment and imaging of pediatric and adolescent headache; and more. Contains 12 relevant, practice-oriented topics including "when to and when not to" image headache; imaging appearance of migraine and tension type headache; radiology of trigeminal and glossopharyngeal neuralgias; post-traumatic headaches and post-craniotomy syndromes; imaging of headache attributed to vascular disorder; and more. Provides in-depth clinical reviews on imaging of headache, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

In this issue of Neuroimaging Clinics, guest editor Dr. Tarik F. Massoud brings his considerable expertise to the topic of Neuroimaging Anatomy, Part 1: Brain and Skull. Anatomical knowledge is critical to reducing both overdiagnosis and misdiagnosis in neuroimaging. This issue is part one of a two-part series on neuroimaging anatomy that focuses on the brain, with each article addressing a specific area. The issue also includes an article on Brain Connectomics: the study of the brain's structural and functional connections between cells. Contains 13 relevant, practice-oriented topics including anatomy of cerebral cortex, lobes, and the cerebellum; brainstem anatomy; cranial nerves anatomy; brain functional imaging anatomy; imaging of normal brain aging; and more. Provides in-depth clinical reviews on neuroimaging anatomy of the brain and skull, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offer increasingly useful information on vascular anatomy and function, and are poised to have a dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. After setting out the technical and clinical challenges of vascular imaging and stenting, the book gives a concise overview of the basics before presenting state-of-the-art methods for solving these challenges. Readers will learn about the main challenges in endovascular procedures, along with new applications of intravascular imaging and the latest advances in computer assisted stenting.

This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.

In this issue of Neuroimaging Clinics, guest editors Drs. Gul Moonis and Daniel T. Ginat bring their considerable expertise to the topic of Mimics, Pearls, and Pitfalls of Head & Neck Imaging. Top experts in the field cover key topics such as implants and foreign bodies in head and neck imaging; FDG-PET artifacts in the head and neck region; pearls, pitfalls, and mimics in pediatric head and neck imaging; and more. Contains 12 relevant, practice-oriented topics including computed tomography artifacts in the head and neck region; magnetic resonance imaging artifacts in the head and neck region; mimics in temporal bone imaging; and post-surgical and post-radiation findings in head and neck imaging; and more. Provides in-depth clinical reviews on mimics, pearls, and pitfalls of head and neck imaging, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Nanobiomaterials in Medical Imaging presents the latest developments in medical exploratory approaches using nanotechnology. Leading researchers from around the world discuss recent progress and state-of-the-art techniques. The book covers synthesis and surface modification of multimodal imaging agents, popular examples of nanoparticles and their applications in different imaging techniques, and combinatorial therapy for the development of multifunctional nanocarriers. The advantages and potential of current techniques are also considered. This book will be of interest to postdoctoral researchers, professors and students engaged in the fields of materials science, biotechnology and applied chemistry. It will also be highly valuable to those working in industry, including pharmaceutics and biotechnology companies, medical researchers, biomedical engineers and advanced clinicians.

Biophotonic diagnostics/biomedical spectroscopy can revolutionise the medical environment by providing a responsive and objective diagnostic environment. This book aims to explain the fundamentals of the physical techniques used combined with the particular requirements of analysing medical/clinical samples as a resource for any interested party. In addition, it will show the potential of this field for the future of medical science and act as a driver for translation across many different biological problems/questions.